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; modelling of processing steps and whole processes to support innovation, design, optimisation and control for manufacturing operations. Process control: process modelling, control, and optimization, with
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, or a closely related field, with a strong record of research productivity. The ideal candidate will have expertise in reinforcement learning, optimal control, vision-language models, or Bayesian
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in
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at the university campus in Stavanger. The core element of this PhD project is to use physics-based and data-driven modeling approaches for developing accurate models for real-time optimization and control
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control and reinforcement learning Power system operations, planning, and electricity market design Transportation systems modeling and optimization Responsibilities: Postdoctoral fellows will: Develop
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dipole traps - development of methods to control the atomic density for quantum memory applications - tasks for personal scientific qualification (doctorate) Requirements: - completed
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of the applicant. Relevant aspects may include but are not limited to: compositional multiphase reservoir simulation upscaling or screening methodologies optimization of well positions and control strategies
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of Singapore (NUS) Department of the Built Environment (DBE) invites applications for a full-time Research Fellow to drive R&D in carbon management and optimization within the built environment. The successful
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frameworks such as COLMAP and Open3D; Ability to develop algorithms for object detection and tracking, 3D reconstruction, and SLAM. Advanced Control and Intelligent RoboticsSolid knowledge of classical and